Publication Type : Conference Paper
Thematic Areas : Center for Computational Engineering and Networking (CEN)
Publisher : Elsevier Procedia Computer Science
Source : International Conference on information and communication Technologies, Elsevier Procedia Computer Science, Vol 46, pp 1087-1094, 2014 (Scopus)
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Computer Science, Center for Computational Engineering and Networking (CEN), Electronics and Communication
Verified : Yes
Year : 2014
Abstract : Most of the electronic equipments are susceptible to power disturbances. Transients are one of the most damaging power disturbances among them. In this paper, a modern adaptive signal decomposition technique called Variational Mode Decomposition (VMD) is used for the detection of impulsive transients or spikes from power signals. VMD decomposes the signal effectively in to several Intrinsic Mode Functions (IMF). Each IMF assumes to have a central frequency. The VMD algorithm focuses on finding these central frequencies and intrinsic mode functions using an optimization methodology called Alternating Direction Method of Multipliers (ADMM). In case of spike on a single tone signal like power signal, it is observed that the information about the original signal is dissolved in any of the modes and also observed that the energy of this mode will be higher when compared to other modes. Using the spectral information of this mode the signature of original signal is preserved. The proposed methodology is found to give good result in case of single tone signals. © 2015 The Authors.
Cite this Research Publication : Amitha V, Jyotsna JK, Nithya K, Sachin Kumar S, KP Soman, Spike Detection of Disturbed Power Signal using VMD, International Conference on information and communication Technologies, Elsevier Procedia Computer Science, Vol 46, pp 1087-1094, 2014 (Scopus)